Training in progress, epoch 10

eval/Information-Retrieval_evaluation_eval_results.csv

@@ -8,3 +8,4 @@ epoch,steps,cosine-Accuracy@1,cosine-Accuracy@3,cosine-Accuracy@5,cosine-Accurac
 7.0,140,0.5466426318161334,0.8580441640378549,0.9269941415051826,0.9734114465975665,0.5466426318161334,0.5466426318161334,0.28601472134595163,0.8580441640378549,0.1853988283010365,0.9269941415051826,0.09734114465975663,0.9734114465975665,0.7100227472692533,0.7753865487291295,0.7115503830684274
 8.0,160,0.5497972059486255,0.857593510590356,0.9283461018476792,0.975214060387562,0.5497972059486255,0.5497972059486255,0.28586450353011866,0.857593510590356,0.18566922036953581,0.9283461018476792,0.09752140603875618,0.975214060387562,0.7116477821412461,0.7770233022002305,0.7130355574887935
 9.0,180,0.5511491662911221,0.8602974312753493,0.9301487156376747,0.9761153672825598,0.5511491662911221,0.5511491662911221,0.2867658104251164,0.8602974312753493,0.1860297431275349,0.9301487156376747,0.09761153672825595,0.9761153672825598,0.7133788636379876,0.7785594935139568,0.7147004534084033
+10.0,200,0.5520504731861199,0.8598467778278504,0.9310500225326723,0.975214060387562,0.5520504731861199,0.5520504731861199,0.2866155926092835,0.8598467778278504,0.18621000450653444,0.9310500225326723,0.09752140603875618,0.975214060387562,0.7140104937874189,0.778855811581032,0.7154223269913967

model.safetensors

@@ -1,3 +1,3 @@
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